Search Results - "Silnova, Anna"

Advancing speaker embedding learning: Wespeaker toolkit for research and production by Wang, Shuai, Chen, Zhengyang, Han, Bing, Wang, Hongji, Liang, Chengdong, Zhang, Binbin, Xiang, Xu, Ding, Wen, Rohdin, Johan, Silnova, Anna, Qian, Yanmin, Li, Haizhou

“…Speaker modeling plays a crucial role in various tasks, and fixed-dimensional vector representations, known as speaker embeddings, are the predominant modeling…”
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Speaker Verification Using End-to-end Adversarial Language Adaptation by Rohdin, Johan, Stafylakis, Themos, Silnova, Anna, Zeinali, Hossein, Burget, Lukas, Plchot, Oldrich

“…In this paper we investigate the use of adversarial domain adaptation for addressing the problem of language mismatch between speaker recognition corpora. In…”
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End-to-End DNN Based Speaker Recognition Inspired by I-Vector and PLDA by Rohdin, Johan, Silnova, Anna, Diez, Mireia, Plchot, Oldrch, Matejka, Pavel, Burget, Lukas

“…Recently, several end-to-end speaker verification systems based on deep neural networks (DNNs) have been proposed. These systems have been proven to be…”
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Discriminative Training of VBx Diarization by Klement, Dominik, Diez, Mireia, Landini, Federico, Burget, Lukas, Silnova, Anna, Delcroix, Marc, Tawara, Naohiro

“…Bayesian HMM clustering of x-vector sequences (VBx) has become a widely adopted diarization baseline model in publications and challenges. It uses an HMM to…”
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Analysis of the but Diarization System for Voxconverse Challenge by Landini, Federico, Glembek, Ondrej, Matejka, Pavel, Rohdin, Johan, Burget, Lukas, Diez, Mireia, Silnova, Anna

“…This paper describes the system developed by the BUT team for the fourth track of the VoxCeleb Speaker Recognition Challenge, focusing on diarization on the…”
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Toroidal Probabilistic Spherical Discriminant Analysis by Silnova, Anna, Brummer, Niko, Swart, Albert, Burget, Lukas

“…In speaker recognition, where speech segments are mapped to embeddings on the unit hypersphere, two scoring back-ends are commonly used, namely cosine scoring…”
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End-to-end DNN based text-independent speaker recognition for long and short utterances by Rohdin, Johan, Silnova, Anna, Diez, Mireia, Plchot, Oldřich, Matějka, Pavel, Burget, Lukáš, Glembek, Ondřej

“…Recently several end-to-end speaker verification systems based on deep neural networks (DNNs) have been proposed. These systems have been proven to be…”
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But System for the Second Dihard Speech Diarization Challenge by Landini, Federico, Wang, Shuai, Diez, Mireia, Burget, Lukas, Matejka, Pavel, Zmolikova, Katerina, Mosner, Ladislav, Silnova, Anna, Plchot, Oldrich, Novotny, Ondrej, Zeinali, Hossein, Rohdin, Johan

“…This paper describes the winning systems developed by the BUT team for the four tracks of the Second DIHARD Speech Diarization Challenge. For tracks 1 and 2…”
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13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE by Matějka, Pavel, Plchot, Oldřich, Glembek, Ondřej, Burget, Lukáš, Rohdin, Johan, Zeinali, Hossein, Mošner, Ladislav, Silnova, Anna, Novotný, Ondřej, Diez, Mireia, “Honza” Černocký, Jan

“…•We present a “longitudinal study” of all important milestone techniques used in speaker recognition by evaluating on multiple NIST SREs.•We provide aa…”
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Challenging margin-based speaker embedding extractors by using the variational information bottleneck by Stafylakis, Themos, Silnova, Anna, Rohdin, Johan, Plchot, Oldrich, Burget, Lukas

“…Speaker embedding extractors are typically trained using a classification loss over the training speakers. During the last few years, the standard…”
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Joint Training of Speaker Embedding Extractor, Speech and Overlap Detection for Diarization by Pálka, Petr, Landini, Federico, Klement, Dominik, Diez, Mireia, Silnova, Anna, Delcroix, Marc, Burget, Lukáš

“…In spite of the popularity of end-to-end diarization systems nowadays, modular systems comprised of voice activity detection (VAD), speaker embedding…”
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Leveraging Self-Supervised Learning for Speaker Diarization by Han, Jiangyu, Landini, Federico, Rohdin, Johan, Silnova, Anna, Diez, Mireia, Burget, Lukas

“…End-to-end neural diarization has evolved considerably over the past few years, but data scarcity is still a major obstacle for further improvements…”
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Toroidal Probabilistic Spherical Discriminant Analysis by Silnova, Anna, Brümmer, Niko, Swart, Albert, Burget, Lukáš

“…In speaker recognition, where speech segments are mapped to embeddings on the unit hypersphere, two scoring back-ends are commonly used, namely cosine scoring…”
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Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information? by Zhang, Lin, Stafylakis, Themos, Landini, Federico, Diez, Mireia, Silnova, Anna, Burget, Lukáš

“…In this paper, we apply the variational information bottleneck approach to end-to-end neural diarization with encoder-decoder attractors (EEND-EDA). This…”
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Discriminative Training of VBx Diarization by Klement, Dominik, Diez, Mireia, Landini, Federico, Burget, Lukáš, Silnova, Anna, Delcroix, Marc, Tawara, Naohiro

“…Bayesian HMM clustering of x-vector sequences (VBx) has become a widely adopted diarization baseline model in publications and challenges. It uses an HMM to…”
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BUT Systems and Analyses for the ASVspoof 5 Challenge by Rohdin, Johan, Zhang, Lin, Plchot, Oldřich, Staněk, Vojtěch, Mihola, David, Peng, Junyi, Stafylakis, Themos, Beveraki, Dmitriy, Silnova, Anna, Brukner, Jan, Burget, Lukáš

“…This paper describes the BUT submitted systems for the ASVspoof 5 challenge, along with analyses. For the conventional deepfake detection task, we use ResNet18…”
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Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization by Delcroix, Marc, Tawara, Naohiro, Diez, Mireia, Landini, Federico, Silnova, Anna, Ogawa, Atsunori, Nakatani, Tomohiro, Burget, Lukas, Araki, Shoko

“…Combining end-to-end neural speaker diarization (EEND) with vector clustering (VC), known as EEND-VC, has gained interest for leveraging the strengths of both…”
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Training Speaker Embedding Extractors Using Multi-Speaker Audio with Unknown Speaker Boundaries by Stafylakis, Themos, Mošner, Ladislav, Plchot, Oldřich, Rohdin, Johan, Silnova, Anna, Burget, Lukáš, Černocký, Jan "Honza''

“…In this paper, we demonstrate a method for training speaker embedding extractors using weak annotation. More specifically, we are using the full VoxCeleb…”
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Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings by Brümmer, Niko, Swart, Albert, Mošner, Ladislav, Silnova, Anna, Plchot, Oldřich, Stafylakis, Themos, Burget, Lukáš

“…In speaker recognition, where speech segments are mapped to embeddings on the unit hypersphere, two scoring backends are commonly used, namely cosine scoring…”
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Probabilistic embeddings for speaker diarization by Silnova, Anna, Brümmer, Niko, Rohdin, Johan, Stafylakis, Themos, Burget, Lukáš

“…Speaker embeddings (x-vectors) extracted from very short segments of speech have recently been shown to give competitive performance in speaker diarization. We…”
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